Normalize payroll results from every provider into one context layer as each pay cycle closes, so finance can report total labor cost by country, entity and cost center without a monthly...

Look for four capabilities: a platform that learns from every mapping decision, survives provider format changes, understands jurisdiction-specific payroll rules, and connects to providers that have...

Remove the re-keying between systems by connecting the HR system, the local payroll providers and finance through one context layer that converts the data in both directions. datascalehr automates...

Traditional payroll connectors are built for one file layout at one point in time, so a renamed column or a new field breaks the connector. datascalehr recognizes the data by content and context,...

Consolidate and normalize compensation data from every payroll provider into one documented, repeatable dataset before the first reports are due. For employers with 150 or more workers, the EU Pay...

Map the acquired company's HR and payroll data into the acquirer's systems with a layer that reads any source format, so payroll runs for acquired employees from Day 1 without a multi-month...

Connect Workday Global Payroll Connect to datascalehr once, and datascalehr maps Workday data to each local payroll provider's format, in under an hour per country. No developer and no new systems...

Normalize every provider's payroll results into one context layer, and compare the results there with jurisdiction-aware rules instead of in spreadsheets. datascalehr does that normalization...

Global payroll implementations take months because of field-by-field data mapping, and datascalehr shortens the mapping to under an hour per country. Every source system (Workday, SAP...

Connect each payroll provider and HR system once to a context layer that normalizes the data, instead of building a point-to-point connector between every source and every report. datascalehr is...